US holisticUnited States · Master’sResearched 0d ago

Data Science

Princeton University

PortPath researches criteria from public sources and can be incomplete or out of date. Always verify against the program’s official announcement before relying on it. PortPath never predicts admission chances.

Overview

Princeton does not appear to offer a standalone master's in data science; the closest official master's route is the Computer Science M.S.E. Admissions are department-reviewed and holistic, with academic records and the academic statement of purpose given serious consideration, while English test scores are required for non-exempt applicants.

Admission criteria

PortfolioLow

No portfolio is required for the Computer Science M.S.E.; Princeton explicitly says it does not require the writing sample or policy memo, so prior work samples are not a core admission lever here.

Bar to clear: Not used by this program

Statement of PurposeHigh

A required academic statement of purpose that explains why you are applying to Princeton, your graduate-study goals, and relevant academic and professional experience; Princeton says it receives very serious consideration.

Bar to clear: Focused 1,000-word-or-less statement aligned to the program

Academics & GPAHigh

Admissions committees examine academic records to see whether the applicant has a firm basis for graduate work in the field; applicants typically come from CS, engineering, science, or mathematics.

Bar to clear: No published GPA cutoff; strong record in CS/math/engineering/science

Test scoresMedium

GRE General scores may be required if applicable, and non-exempt applicants must submit TOEFL or IELTS; for the MSE, Princeton requires TOEFL speaking 28+ or IELTS speaking 8 for those who must submit English scores.

Bar to clear: TOEFL speaking 28+ or IELTS speaking 8 if required